DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving

Documenti analoghi

• VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
  di: Xu, Yi, et al.
  Pubblicazione: (2024)
• Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks
  di: Zhu, Xuran
  Pubblicazione: (2024)
• VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
  di: Hu, Haibo, et al.
  Pubblicazione: (2025)
• DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
  di: Huang, Yidong, et al.
  Pubblicazione: (2024)
• V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
  di: You, Junwei, et al.
  Pubblicazione: (2024)